We found 3 articles by this author...
Ajay Pawar
Ajay Pawar is a Quantitative Researcher and Analyst specializing in computational finance, algorithmic trading, and data science. He holds a Master’s in Financial Data Intelligence from Rennes School of Business and He is also an EPATian and holds certifications in data science as well. Ajay combines strong technical skills with financial insight, making meaningful contributions to the field of quantitative finance.
Walk-Forward Optimization in Python for ML Models
Learn how to apply Walk-Forward Optimization (WFO) in Python using XGBoost for stock price prediction. Understand how WFO helps manage concept drift and maintain model accuracy in dynamic financial markets....
9 min read
Walk-Forward Optimization (WFO): A Framework for More Reliable Backtesting
Learn how Walk-Forward Optimization (WFO) works, its limitations, and how to implement it for backtesting trading strategies. Enhance your strategy testing with a structured framework for more reliable results....
5 min read
Application of LLMs in Portfolio Management: Creating Thematic Universe Index
This blog will demonstrate how LLMs, paired with tools like OpenAI API and Python, can streamline processes such as generating thematic portfolios and analyzing trends for smarter investment decisions....
6 min read